Uses of Enum Class
org.tribuo.common.xgboost.XGBoostTrainer.BoosterType
Package
Description
Provides an interface to XGBoost for classification problems.
Provides abstract classes for interfacing with XGBoost abstracting away all the
Output
dependent parts.Provides an interface to XGBoost for regression problems.
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Uses of XGBoostTrainer.BoosterType in org.tribuo.classification.xgboost
ModifierConstructorDescriptionXGBoostClassificationTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer. -
Uses of XGBoostTrainer.BoosterType in org.tribuo.common.xgboost
Modifier and TypeMethodDescriptionstatic XGBoostTrainer.BoosterType
Returns the enum constant of this class with the specified name.static XGBoostTrainer.BoosterType[]
XGBoostTrainer.BoosterType.values()
Returns an array containing the constants of this enum class, in the order they are declared.ModifierConstructorDescriptionprotected
XGBoostTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer. -
Uses of XGBoostTrainer.BoosterType in org.tribuo.regression.xgboost
ModifierConstructorDescriptionXGBoostRegressionTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, XGBoostRegressionTrainer.RegressionType rType, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer.